# Software Engineer, Agents (Foundation Agents) at Fieldguide > Hybrid · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Afieldguide%3Aec60ae0f-7638-4859-b65a-6c8446fdd7db (read 2026-11-06). ## Facts (observed) - Company: [Fieldguide](https://alderhq.app/companies/fieldguide) - Location text: San Francisco, CA - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: San Francisco, CA") - Posted: 2026-09-16 (51 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/fieldguide/ec60ae0f-7638-4859-b65a-6c8446fdd7db - Skills listed (inferred): LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $190k–$220k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 1630): p25 $161k, median $200k, p75 $242k - H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### About Us Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. ### About the Role The Foundation Agents team stewards the long-horizon agents powering the Fieldguide AI platform. We work at the frontier of AI product development: agent knowledge, evaluations, and improving quality and reliability at scale. If you're excited by long-horizon agents that do real-world work, this is the team for you. ### What You’ll Own Build and maintain agent knowledge and evaluation infrastructure for Fieldguide's long-horizon agents Build our next generation of agents at Fieldguide, solving increasingly complex customer use cases Perform error analysis on agent behavior and help turn findings into concrete quality improvements Build backend systems that support agent execution, evaluation, and monitoring Partner with senior engineers on the team to execute the platform's reliability and quality roadmap ### Who You Are You've built AI products, not just called an LLM API You're curious about evals and error analysis. You want to understand why an agent failed, not just that it did You're comfortable in the backend, with a bias toward reliable systems You're motivated by long-horizon agents that do real work in production ### Experience ### Must-have Hands-on experience building AI products Working knowledge of evals and error analysis Backend engineering experience ### Nice-to-have Platform engineering skills Frontend experience Distributed systems experience ### What Should Excite You Long-horizon agents: working on agents that do real, sustained work and not one-shot demos Evaluation as a craft: Evals and error analysis are core to how this team improves quality Platform-level impact: Your work shapes the reliability and quality of every agent built on top of it Frontier problems: You're working on open problems in agent reliability that don't yet have established playbooks ### Benefits Competitive compensation with equity Comprehensive health and wellness benefits Flexible time off and work schedules Technology reimbursements 401(k) plan Twice-yearly in-person offsites across the U.S. Wellness benefits starting on your first day ### Our Values Fearless — Inspire and break down seemingly impossible walls Fast — Launch fast with excellence; iterate to perfection Lovable — Deliver happiness and 11-star experiences Owners — Execute and run the business with ownership Win-win — Create mutual value and earn trust for life Inclusive — Scale the best ideas with inclusive teams --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Afieldguide%3Aec60ae0f-7638-4859-b65a-6c8446fdd7db and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.